MODELING LAND USE SIMULATION OF ISTANBUL FOR 2023 WITH LOGISTIC REGRESSION


Aldogan C. F., Akın Ö., Eroglu A., Demirel H.

SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES-SIGMA MUHENDISLIK VE FEN BILIMLERI DERGISI, cilt.9, sa.3, ss.349-354, 2018 (ESCI) identifier

Özet

Land cover and land use modelling provides key information for understanding the environmental processes and evaluating the contributory factors leading to the land use changes. Therefore, the possible driving forces of them are required to be revealed thoroughly to give tangible explanations about the nature of land use and land cover change. The study area is Istanbul that is a megacity, which accommodates millions of people, and its population continues to increase as time passes. Due to the fact that population in Istanbul increases, urban areas start to grow rapidly and the number of people who resides in the cities grows as a result. Land management of Istanbul transforms into complex structure. In order to assist decision makers, a land cover/use prediction model of Istanbul was created for quantifying these factors in the model. In this paper, logistic regression was used for predicting land use change and simulating a land use model for the year of 2023. By means of the developed model, quantitative analyses could be incorporated to the decision making process of future city components.